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ORCIDFernando De la Torre
Fernando De la Torre Frade
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- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2024
[j46]Tamás Karácsony, László Attila Jeni, Fernando De la Torre, João Paulo Silva Cunha:
Deep learning methods for single camera based clinical in-bed movement action recognition. Image Vis. Comput. 143: 104928 (2024)- [c144]Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando De la Torre:
D3GU: Multi-target Active Domain Adaptation via Enhancing Domain Alignment. WACV 2024: 2565-2574 - [c143]Jianchun Chen, Jayakorn Vongkulbhisal, Fernando De la Torre Frade:
A Sequential Learning-based Approach for Monocular Human Performance Capture. WACV 2024: 3502-3511 - [c142]Aashish Rai, Hiresh Gupta, Ayush Pandey, Francisco Vicente Carrasco, Shingo Jason Takagi, Amaury Aubel, Daeil Kim, Aayush Prakash, Fernando De la Torre:
Towards Realistic Generative 3D Face Models. WACV 2024: 3726-3736 - [c141]Stanislav Panev, Emily Kim, Sai Abhishek Si Namburu, Desislava Nikolova, Celso de Melo, Fernando De la Torre, Jessica K. Hodgins:
Exploring the Impact of Rendering Method and Motion Quality on Model Performance when Using Multi-view Synthetic Data for Action Recognition. WACV 2024: 4580-4590 - [c140]José Ribeiro-Gomes, Tianhui Cai, Zoltán Ádám Milacski, Chen Wu, Aayush Prakash, Shingo Takagi, Amaury Aubel, Daeil Kim, Alexandre Bernardino, Fernando De la Torre:
MotionGPT: Human Motion Synthesis with Improved Diversity and Realism via GPT-3 Prompting. WACV 2024: 5058-5068 - [c139]Jianjin Xu, Saman Motamed, Praneetha Vaddamanu, Chen Henry Wu, Christian Häne, Jean-Charles Bazin, Fernando De la Torre:
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention. WACV 2024: 5420-5430 - [i36]Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando De la Torre:
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment. CoRR abs/2401.05465 (2024) - [i35]Chen Henry Wu, Fernando De la Torre:
Contrastive Prompts Improve Disentanglement in Text-to-Image Diffusion Models. CoRR abs/2402.13490 (2024) - [i34]Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre:
Consolidating Attention Features for Multi-view Image Editing. CoRR abs/2402.14792 (2024) - [i33]Zoltan A. Milacski, Koichiro Niinuma, Ryosuke Kawamura, Fernando De la Torre, László A. Jeni:
GHOST: Grounded Human Motion Generation with Open Vocabulary Scene-and-Text Contexts. CoRR abs/2405.18438 (2024) - [i32]Saswat Subhajyoti Mallick, Rahul Goel, Bernhard Kerbl, Francisco Vicente Carrasco, Markus Steinberger, Fernando De la Torre:
Taming 3DGS: High-Quality Radiance Fields with Limited Resources. CoRR abs/2406.15643 (2024) - [i31]Haoye Dong, Aviral Chharia, Wenbo Gou, Francisco Vicente Carrasco, Fernando De la Torre:
Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba. CoRR abs/2407.09646 (2024) - [i30]Youngjoong Kwon, Baole Fang, Yixing Lu, Haoye Dong, Cheng Zhang, Francisco Vicente Carrasco, Albert Mosella-Montoro, Jianjin Xu, Shingo Takagi, Daeil Kim, Aayush Prakash, Fernando De la Torre:
Generalizable Human Gaussians for Sparse View Synthesis. CoRR abs/2407.12777 (2024) - 2023
- [j45]Denis Tomè
, Thiemo Alldieck, Patrick Peluse, Gerard Pons-Moll, Lourdes Agapito, Hernán Badino, Fernando De la Torre:
SelfPose: 3D Egocentric Pose Estimation From a Headset Mounted Camera. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6794-6806 (2023) - [c138]Jinqi Luo, Zhaoning Wang, Chen Henry Wu, Dong Huang, Fernando De la Torre:
Zero-Shot Model Diagnosis. CVPR 2023: 11631-11640 - [c137]Cheng Zhang, Xuanbai Chen, Siqi Chai, Chen Henry Wu, Dmitry Lagun, Thabo Beeler, Fernando De la Torre:
ITI-Gen: Inclusive Text-to-Image Generation. ICCV 2023: 3946-3957 - [c136]Chen Henry Wu, Fernando De la Torre:
A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance. ICCV 2023: 7344-7353 - [c135]Shubhra Aich, Jesús Ruiz-Santaquiteria, Zhenyu Lu, Prachi Garg, K. J. Joseph, Alvaro Fernandez Garcia, Vineeth N. Balasubramanian, Kenrick Kin, Chengde Wan, Necati Cihan Camgöz, Shugao Ma, Fernando De la Torre:
Data-Free Class-Incremental Hand Gesture Recognition. ICCV 2023: 20901-20910 - [c134]Saman Motamed, Jianjin Xu, Chen Henry Wu, Christian Häne, Jean-Charles Bazin, Fernando De la Torre:
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face inpainting. ICCV 2023: 22721-22730 - [c133]Fariborz Taherkhani, Aashish Rai, Quankai Gao, Shaunak Srivastava, Xuanbai Chen, Fernando De la Torre, Steven Song, Aayush Prakash, Daeil Kim:
Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance. WACV 2023: 826-836 - [i29]Jiaqi Geng, Dong Huang, Fernando De la Torre:
DensePose From WiFi. CoRR abs/2301.00250 (2023) - [i28]Jinqi Luo, Zhaoning Wang, Chen Henry Wu, Dong Huang, Fernando De la Torre:
Semantic Image Attack for Visual Model Diagnosis. CoRR abs/2303.13010 (2023) - [i27]Jinqi Luo, Zhaoning Wang, Chen Henry Wu, Dong Huang, Fernando De la Torre:
Zero-shot Model Diagnosis. CoRR abs/2303.15441 (2023) - [i26]Saman Motamed, Jianjin Xu, Chen Henry Wu, Fernando De la Torre:
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting. CoRR abs/2304.06107 (2023) - [i25]Aashish Rai, Hiresh Gupta, Ayush Pandey, Francisco Vicente Carrasco, Shingo Jason Takagi, Amaury Aubel, Daeil Kim, Aayush Prakash, Fernando De la Torre:
Towards Realistic Generative 3D Face Models. CoRR abs/2304.12483 (2023) - [i24]Cheng Zhang, Xuanbai Chen, Siqi Chai, Chen Henry Wu, Dmitry Lagun, Thabo Beeler, Fernando De la Torre:
ITI-GEN: Inclusive Text-to-Image Generation. CoRR abs/2309.05569 (2023) - [i23]Jianjin Xu, Saman Motamed, Praneetha Vaddamanu, Chen Henry Wu, Christian Häne, Jean-Charles Bazin, Fernando De la Torre:
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention. CoRR abs/2312.03556 (2023) - 2022
- [j44]Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre:
3D Human Pose, Shape and Texture From Low-Resolution Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4490-4504 (2022) - [c132]Amin Jourabloo, Fernando De la Torre, Jason M. Saragih, Shih-En Wei, Stephen Lombardi, Te-Li Wang, Danielle Belko, Autumn Trimble, Hernán Badino:
Robust Egocentric Photo-realistic Facial Expression Transfer for Virtual Reality. CVPR 2022: 20291-20300 - [c131]Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre:
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models. NeurIPS 2022 - [i22]Fariborz Taherkhani, Aashish Rai, Quankai Gao, Shaunak Srivastava, Xuanbai Chen, Fernando De la Torre, Steven Song, Aayush Prakash, Daeil Kim:
Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance. CoRR abs/2208.14263 (2022) - [i21]Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre:
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models. CoRR abs/2209.06970 (2022) - [i20]Chen Henry Wu, Fernando De la Torre:
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance. CoRR abs/2210.05559 (2022) - 2021
- [j43]Junwei Han, Yang Yang, Dingwen Zhang, Dong Huang, Dong Xu, Fernando De la Torre:
Weakly-Supervised Learning of Category-Specific 3D Object Shapes. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1423-1437 (2021) - [j42]Chen Cao, Vasu Agrawal, Fernando De la Torre, Lele Chen, Jason M. Saragih, Tomas Simon, Yaser Sheikh:
Real-time 3D neural facial animation from binocular video. ACM Trans. Graph. 40(4): 87:1-87:17 (2021) - [c130]Shugao Ma, Tomas Simon, Jason M. Saragih, Dawei Wang, Yuecheng Li, Fernando De la Torre, Yaser Sheikh:
Pixel Codec Avatars. CVPR 2021: 64-73 - [c129]Lele Chen, Chen Cao, Fernando De la Torre, Jason M. Saragih, Chenliang Xu, Yaser Sheikh:
High-Fidelity Face Tracking for AR/VR via Deep Lighting Adaptation. CVPR 2021: 13059-13069 - [c128]Israel D. Gebru, Dejan Markovic, Alexander Richard, Steven Krenn, Gladstone Alexander Butler, Fernando De la Torre, Yaser Sheikh:
Implicit HRTF Modeling Using Temporal Convolutional Networks. ICASSP 2021: 3385-3389 - [c127]Alexander Richard, Michael Zollhöfer, Yandong Wen, Fernando De la Torre, Yaser Sheikh:
MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement. ICCV 2021: 1153-1162 - [c126]Alexander Richard, Dejan Markovic, Israel D. Gebru, Steven Krenn, Gladstone Alexander Butler, Fernando De la Torre, Yaser Sheikh:
Neural Synthesis of Binaural Speech From Mono Audio. ICLR 2021 - [c125]Alexander Richard, Colin Lea, Shugao Ma, Juergen Gall, Fernando De la Torre, Yaser Sheikh:
Audio- and Gaze-driven Facial Animation of Codec Avatars. WACV 2021: 41-50 - [i19]Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre:
3D Human Pose, Shape and Texture from Low-Resolution Images and Videos. CoRR abs/2103.06498 (2021) - [i18]Lele Chen, Chen Cao, Fernando De la Torre, Jason M. Saragih, Chenliang Xu, Yaser Sheikh:
High-fidelity Face Tracking for AR/VR via Deep Lighting Adaptation. CoRR abs/2103.15876 (2021) - [i17]Shugao Ma, Tomas Simon, Jason M. Saragih, Dawei Wang, Yuecheng Li, Fernando De la Torre, Yaser Sheikh:
Pixel Codec Avatars. CoRR abs/2104.04638 (2021) - [i16]Amin Jourabloo, Fernando De la Torre, Jason M. Saragih, Shih-En Wei, Te-Li Wang, Stephen Lombardi, Danielle Belko, Autumn Trimble, Hernán Badino:
Robust Egocentric Photo-realistic Facial Expression Transfer for Virtual Reality. CoRR abs/2104.04794 (2021) - [i15]Alexander Richard, Michael Zollhöfer, Yandong Wen, Fernando De la Torre, Yaser Sheikh:
MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement. CoRR abs/2104.08223 (2021) - 2020
- [j41]Rubén San Segundo, Ada Zhang, Alexander Cebulla, Stanislav Panev, Griffin Tabor, Katelyn Stebbins, Robyn E. Massa, Andrew S. Whitford, Fernando De la Torre, Jessica K. Hodgins:
Parkinson's Disease Tremor Detection in the Wild Using Wearable Accelerometers. Sensors 20(20): 5817 (2020) - [c124]Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre:
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning. ECCV (9) 2020: 284-300 - [c123]Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh:
Expressive Telepresence via Modular Codec Avatars. ECCV (12) 2020: 330-345 - [c122]Ada Zhang, Fernando De la Torre, Jessica K. Hodgins:
Comparing laboratory and in-the-wild data for continuous Parkinson's Disease tremor detection. EMBC 2020: 5436-5441 - [i14]Stanislav Panev, Francisco Vicente, Fernando De la Torre, Véronique Prinet:
Road Curb Detection and Localization with Monocular Forward-view Vehicle Camera. CoRR abs/2002.12492 (2020) - [i13]Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre:
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning. CoRR abs/2007.13666 (2020) - [i12]Alexander Richard, Colin Lea, Shugao Ma, Juergen Gall, Fernando De la Torre, Yaser Sheikh:
Audio- and Gaze-driven Facial Animation of Codec Avatars. CoRR abs/2008.05023 (2020) - [i11]Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh:
Expressive Telepresence via Modular Codec Avatars. CoRR abs/2008.11789 (2020) - [i10]Denis Tomè, Thiemo Alldieck, Patrick Peluse, Gerard Pons-Moll, Lourdes Agapito, Hernán Badino, Fernando De la Torre:
SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera. CoRR abs/2011.01519 (2020)
2010 – 2019
- 2019
- [j40]Chen Change Loy, Xiaoming Liu, Tae-Kyun Kim, Fernando De la Torre, Rama Chellappa:
Editorial: Special Issue on Deep Learning for Face Analysis. Int. J. Comput. Vis. 127(6-7): 533-536 (2019) - [j39]Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn:
Learning facial action units with spatiotemporal cues and multi-label sampling. Image Vis. Comput. 81: 1-14 (2019) - [j38]Jayakorn Vongkulbhisal, Fernando De la Torre, João Paulo Costeira:
Discriminative Optimization: Theory and Applications to Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 829-843 (2019) - [j37]Stanislav Panev, Francisco Vicente, Fernando De la Torre, Véronique Prinet:
Road Curb Detection and Localization With Monocular Forward-View Vehicle Camera. IEEE Trans. Intell. Transp. Syst. 20(9): 3568-3584 (2019) - [c121]Albert Pumarola, Vedanuj Goswami, Francisco Vicente, Fernando De la Torre, Francesc Moreno-Noguer:
Unsupervised Image-to-Video Clothing Transfer. ICCV Workshops 2019: 3181-3184 - 2018
- [j36]Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Brais Martínez, Fernando De la Torre, Michel F. Valstar:
A Functional Regression Approach to Facial Landmark Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 40(9): 2037-2050 (2018) - [j35]Miguel Ángel Bautista, Oriol Pujol, Fernando De la Torre, Sergio Escalera:
Error-Correcting Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2388-2401 (2018) - [c120]Ada Zhang, Rubén San Segundo, Stanislav Panev, Griffin Tabor, Katelyn Stebbins, Andrew S. Whitford, Fernando De la Torre, Jessica K. Hodgins:
Automated Tremor Detection in Parkinson's Disease Using Accelerometer Signals. CHASE 2018: 13-14 - [c119]Jayakorn Vongkulbhisal, Beñat Irastorza Ugalde, Fernando De la Torre, João Paulo Costeira:
Inverse Composition Discriminative Optimization for Point Cloud Registration. CVPR 2018: 2993-3001 - 2017
- [j34]Xavier Perez-Sala, Fernando De la Torre, Laura Igual, Sergio Escalera, Cecilio Angulo:
Subspace Procrustes Analysis. Int. J. Comput. Vis. 121(3): 327-343 (2017) - [j33]Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Daniel S. Messinger:
A Branch-and-Bound Framework for Unsupervised Common Event Discovery. Int. J. Comput. Vis. 123(3): 372-391 (2017) - [j32]Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn:
Selective Transfer Machine for Personalized Facial Expression Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 529-545 (2017) - [c118]Calvin Murdock, Fernando De la Torre:
Additive Component Analysis. CVPR 2017: 673-681 - [c117]Jayakorn Vongkulbhisal, Fernando De la Torre, João Paulo Costeira:
Discriminative Optimization: Theory and Applications to Point Cloud Registration. CVPR 2017: 3975-3983 - [c116]Dong Huang, Longfei Han, Fernando De la Torre:
Soft-Margin Mixture of Regressions. CVPR 2017: 4058-4066 - [c115]Ada Zhang, Alexander Cebulla, Stanislav Panev, Jessica K. Hodgins, Fernando De la Torre:
Weakly-supervised learning for Parkinson's Disease tremor detection. EMBC 2017: 143-147 - [c114]Dustin Axman, Joana S. Paiva, Fernando De la Torre, João P. S. Cunha:
Beat-to-beat ECG features for time resolution improvements in stress detection. EUSIPCO 2017: 1290-1294 - [c113]Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn:
Learning Spatial and Temporal Cues for Multi-Label Facial Action Unit Detection. FG 2017: 25-32 - [c112]Calvin Murdock, Fernando De la Torre:
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning. ICCV 2017: 4318-4326 - [c111]Manuel J. Marín-Jiménez, Francisco M. Castro, Nicolás Guil, Fernando De la Torre, Rafael Medina Carnicer:
Deep multi-task learning for gait-based biometrics. ICIP 2017: 106-110 - [i9]Jayakorn Vongkulbhisal, Fernando De la Torre, João Paulo Costeira:
Discriminative Optimization: Theory and Applications to Computer Vision Problems. CoRR abs/1707.04318 (2017) - [i8]Joachim de Curtò, Irene C. Zarza, Fernando De la Torre, Irwin King, Michael R. Lyu:
High-Resolution Deep Convolutional Generative Adversarial Networks. CoRR abs/1711.06491 (2017) - 2016
- [j31]Xiaoyu Ding, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Qiao Wang:
Cascade of Tasks for facial expression analysis. Image Vis. Comput. 51: 36-48 (2016) - [j30]Feng Zhou, Fernando De la Torre:
Generalized Canonical Time Warping. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 279-294 (2016) - [j29]Dong Huang, Ricardo Silveira Cabral, Fernando De la Torre:
Robust Regression. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 363-375 (2016) - [j28]Feng Zhou, Fernando De la Torre:
Spatio-Temporal Matching for Human Pose Estimation in Video. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1492-1504 (2016) - [j27]Feng Zhou, Fernando De la Torre:
Factorized Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1774-1789 (2016) - [j26]Ji Zhao, Liantao Wang, Ricardo Silveira Cabral, Fernando De la Torre:
Feature and Region Selection for Visual Learning. IEEE Trans. Image Process. 25(3): 1084-1094 (2016) - [j25]Kaili Zhao, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Honggang Zhang:
Joint Patch and Multi-label Learning for Facial Action Unit and Holistic Expression Recognition. IEEE Trans. Image Process. 25(8): 3931-3946 (2016) - [j24]Jiabei Zeng, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Zhang Xiong:
Confidence Preserving Machine for Facial Action Unit Detection. IEEE Trans. Image Process. 25(10): 4753-4767 (2016) - [c110]Jayakorn Vongkulbhisal, Ricardo Silveira Cabral, Fernando De la Torre, João Paulo Costeira:
Motion from Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories. CVPR 2016: 5639-5647 - [i7]Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn:
Modeling Spatial and Temporal Cues for Multi-label Facial Action Unit Detection. CoRR abs/1608.00911 (2016) - [i6]Ramon Sanabria, Florian Metze, Fernando De la Torre:
Robust end-to-end deep audiovisual speech recognition. CoRR abs/1611.06986 (2016) - [i5]Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Brais Martínez, Fernando De la Torre, Michel F. Valstar:
A Functional Regression approach to Facial Landmark Tracking. CoRR abs/1612.02203 (2016) - 2015
- [j23]Ricardo Silveira Cabral, Fernando De la Torre, João Paulo Costeira, Alexandre Bernardino:
Matrix Completion for Weakly-Supervised Multi-Label Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 121-135 (2015) - [j22]Karim T. Abou-Moustafa, Fernando De la Torre, Frank P. Ferrie:
Pareto models for discriminative multiclass linear dimensionality reduction. Pattern Recognit. 48(5): 1863-1877 (2015) - [j21]Jeffrey M. Girard, Jeffrey F. Cohn, Fernando De la Torre:
Estimating smile intensity: A better way. Pattern Recognit. Lett. 66: 13-21 (2015) - [j20]Francisco Vicente, Zehua Huang, Xuehan Xiong, Fernando De la Torre, Wende Zhang, Dan Levi:
Driver Gaze Tracking and Eyes Off the Road Detection System. IEEE Trans. Intell. Transp. Syst. 16(4): 2014-2027 (2015) - [c109]Kaili Zhao, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Honggang Zhang:
Joint patch and multi-label learning for facial action unit detection. CVPR 2015: 2207-2216 - [c108]Xuehan Xiong, Fernando De la Torre:
Global supervised descent method. CVPR 2015: 2664-2673 - [c107]Terrance E. Boult, Fernando De la Torre, Slobodan Ribaric, Vitomir Struc:
Foreword - De-identification for Privacy Protection in Multimedia 2015. FG 2015: 1-2 - [c106]Jeffrey M. Girard, Jeffrey F. Cohn, László A. Jeni, Simon Lucey, Fernando De la Torre:
How much training data for facial action unit detection? FG 2015: 1-8 - [c105]Fernando De la Torre, Wen-Sheng Chu, Xuehan Xiong, Francisco Vicente, Xiaoyu Ding, Jeffrey F. Cohn:
IntraFace. FG 2015: 1-8 - [c104]Calvin Murdock, Fernando De la Torre:
Semantic Component Analysis. ICCV 2015: 1484-1492 - [c103]Wen-Sheng Chu, Jiabei Zeng, Fernando De la Torre, Jeffrey F. Cohn, Daniel S. Messinger:
Unsupervised Synchrony Discovery in Human Interaction. ICCV 2015: 3146-3154 - [c102]Jiabei Zeng, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Zhang Xiong:
Confidence Preserving Machine for Facial Action Unit Detection. ICCV 2015: 3622-3630 - [i4]Miguel Ángel Bautista, Oriol Pujol, Fernando De la Torre, Sergio Escalera:
Error-Correcting Factorization. CoRR abs/1502.07976 (2015) - 2014
- [j19]Minyoung Kim, Fernando De la Torre:
Multiple instance learning via Gaussian processes. Data Min. Knowl. Discov. 28(4): 1078-1106 (2014) - [j18]Minh Hoai Nguyen, Fernando De la Torre:
Max-Margin Early Event Detectors. Int. J. Comput. Vis. 107(2): 191-202 (2014) - [j17]Laura Igual, Xavier Perez-Sala, Sergio Escalera, Cecilio Angulo, Fernando De la Torre:
Continuous Generalized Procrustes analysis. Pattern Recognit. 47(2): 659-671 (2014) - [j16]Minh Hoai Nguyen, Lorenzo Torresani, Fernando De la Torre, Carsten Rother:
Learning discriminative localization from weakly labeled data. Pattern Recognit. 47(3): 1523-1534 (2014) - [c101]Ehsan Adeli-Mosabbeb, Ricardo Silveira Cabral, Fernando De la Torre, Mahmood Fathy:
Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization. ACCV (5) 2014: 241-258 - [c100]Yingying Zhu, Dong Huang, Fernando De la Torre, Simon Lucey:
Complex Non-rigid Motion 3D Reconstruction by Union of Subspaces. CVPR 2014: 1542-1549 - [c99]Feng Zhou, Fernando De la Torre:
Spatio-temporal Matching for Human Detection in Video. ECCV (6) 2014: 62-77 - [c98]Dong Huang, Shitong Yao, Yi Wang, Fernando De la Torre:
Sequential Max-Margin Event Detectors. ECCV (3) 2014: 410-424 - [c97]Xavier Perez-Sala, Fernando De la Torre, Laura Igual, Sergio Escalera, Cecilio Angulo:
Subspace Procrustes Analysis. ECCV Workshops (1) 2014: 654-668 - [c96]Ekaterina H. Taralova, Fernando De la Torre, Martial Hebert:
Motion Words for Videos. ECCV (1) 2014: 725-740 - [c95]Vinod Sharma, Kunal Mankodiya, Fernando De la Torre, Ada Zhang, Neal Ryan, Thanh G. N. Ton, Rajeev Gandhi, Samay Jain:
SPARK: Personalized Parkinson Disease Interventions through Synergy between a Smartphone and a Smartwatch. HCI (10) 2014: 103-114 - [c94]Ricardo Silveira Cabral, João Paulo Costeira, Alexandre Bernardino, Fernando De la Torre:
Optimal no-intersection multi-label binary localization for time series using totally unimodular linear programming. ICIP 2014: 3127-3130 - [i3]Xuehan Xiong, Fernando De la Torre:
Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision. CoRR abs/1405.0601 (2014) - [i2]Ji Zhao, Liantao Wang, Ricardo Silveira Cabral, Fernando De la Torre:
Feature and Region Selection for Visual Learning. CoRR abs/1407.5245 (2014) - 2013
- [j15]Yan Tian, Leonid Sigal, Fernando De la Torre, Yonghua Jia:
Canonical locality preserving Latent Variable Model for discriminative pose inference. Image Vis. Comput. 31(3): 223-230 (2013) - [j14]